LabVIEWexamplestutorial

基于myrio的labview编程，包含伺服电机、直流电机驱动、红外对管摄像头等等。(LabVIEW programming based on myrio)

本vi用于从串口读取十六进制数据并保存数据至tdms文件。用户可在第二个循环中根据自己的串口数据格式进行改动。 （需要安装visa驱动）(This VI is used to read sixteen hexadecimal data from the serial port, and save data to the TDMS file.)

基于LabVIEW的频谱分析仪设计，数据采集、参数设置、频谱分析（波形显示、频率测量、功率测量）、数据存储(Spectrum Analyzer Based on LabVIEW design, data collection, parameter setting, spectral analysis (waveform display, frequency measurement, power measurement), data storage)

di电子测量技术基础的课程设计总结报告，题目是基于虚拟仪器技术的频谱分析仪设计，本文详细论述了开发平台labview8.5实现该设计各部分功能的原理及方法，并对本设计创新点，存在问题等做了分析，附带个人总结。(di Electronic Measurement Technology curriculum design summary report entitled spectrum analyzer based virtual instrument technology, the paper discusses in detail the principles and methods of development platform labview8.5 implement the function of each part of the design, and this design innovation, there is a problems were analyzed, with personal summary.)

解决LabVIEW里不能使用数码管字体的方法 用FontCreator软件打开字体，将字体的平台由“Windows Unicode BMP(UCS-2)”改为“Windows Symbol”即可。(Method for solving LabVIEW can not use digital tube font With FontCreator software to open the font, the font platform Unicode BMP Windows (UCS-2) to Symbol Windows can be.)

该vi主要是一台简单的单通道数字示波器，实现数据采集、波形显示、信号处理、波形存储等(The main vi is a simple single-channel digital oscilloscope, data acquisition, waveform display, signal processing, waveform storage, etc.)

以labview为平台对《自控制原理》的各个实验进行了仿真(Taking LabVIEW as the platform, the experiment of the principle of self control is simulated)

说明：  Snap7是一款开源的32/64位多平台以太网通信套件，用于与西门子S7 PLC进行本地连接。 新款CPU 1200/1500，旧款S7200，小型LOGO 0BA7 / 0BA8和SINAMICS Drives也得到部分支持。(Snap7 is an open source 32 / 64 bit multi platform Ethernet communication suite for local connection with Siemens S7 PLC. The new CPU 1200 / 1500, the old S7200, the small logo 0ba7 / 0ba8 and SINAMICS drives are also partially supported.)

基于labview的虚拟波形发生器，能够实现正弦、余弦、锯齿波的产生(Labview-based virtual waveform generator, to achieve the sine, cosine, sawtooth generation)

机械振动信号的自相关分析，对其进行周期成分检测(Autocorrelation analysis of mechanical vibration signals to detect its periodic components)